{"id":"W2078111369","doi":"10.4271/2013-01-1621","title":"Application of Modeling Technology in a Turbocharged SI Engine","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Turbocharger; Computer science; Automotive engineering; Materials science; Aerospace engineering; Engineering; Gas compressor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003315906,0.0008087238,0.001179246,0.0008875186,0.0001123647,0.00002783252,0.001521381,0.001431533,0.0002336854],"category_scores_gemma":[0.001749845,0.000763828,0.000304364,0.002302365,0.0006713066,0.0005485786,0.0005985324,0.002139727,0.0001620051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423994,"about_ca_system_score_gemma":0.00004608708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006337419,"about_ca_topic_score_gemma":0.002492358,"domain_scores_codex":[0.9954765,0.0000436105,0.001539012,0.0011938,0.0006647977,0.001082248],"domain_scores_gemma":[0.9970865,0.000332788,0.0002758311,0.00188282,0.0002154286,0.0002066198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006174589,0.0002694871,0.0001086537,0.000074315,0.00002475278,0.000008290881,0.00001169836,0.02289418,0.9226577,0.0440775,0.00008671566,0.009725],"study_design_scores_gemma":[0.006271247,0.002799545,0.746729,0.001768085,0.0002357875,0.0002971108,0.001155654,0.003896156,0.03579222,0.1842808,0.01117195,0.005602438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580507,0.0009764619,0.002481193,0.01020056,0.0001891829,0.003050077,0.00004421406,0.01485958,0.01014797],"genre_scores_gemma":[0.9726845,0.0001999316,0.02503787,0.0002304883,0.00005499789,0.001490228,0.00003582371,0.0001589561,0.0001072216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8868654,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008446237602189764,"score_gpt":0.2311541254421861,"score_spread":0.2227078878399963,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}